Quantitative Researcher

About Us

We design, develop, and deploy cutting-edge, AI-driven systematic trading systems for global markets. We move quickly, taking ideas from hypothesis to production-ready systems through short feedback loops and direct impact on real-world system performance.

We are looking for a Quantitative Researcher who brings a rigorous, scientific approach to signal research, portfolio execution, and risk modeling.

What You Will Do

• Strategy Research & Development: Design, develop, and validate new AI-driven systematic trading strategies from the ground up.

• Optimization & Capacity: Improve the performance, robustness, and execution capacity of existing production strategies.

• Signal & Execution Engineering: Develop signals, execution logic, and risk models using large-scale, high-frequency datasets.

• Rigorous Backtesting: Conduct robust backtests designed to distinguish genuine alpha from overfitting, noise, and statistical artifacts.

• Production Delivery: Work closely with engineering and operations teams to validate, deploy, and continuously improve production-ready trading systems.

What We Are Looking For

• Strong Quantitative Background: Academic or professional experience in Statistics, Mathematics, Physics, Computer Science, Electrical Engineering, or a related quantitative field.

• Proven Research Track Record: Demonstrated research ability through publications, top competition results (e.g., Kaggle, mathematics or programming olympiads), or successfully deployed quantitative trading systems.

• Technical Skills: Strong proficiency in Python, including Pandas and NumPy. Experience with SQL is a plus.

• Rigorous Mindset: A highly self-critical approach to research, with a strong commitment to scientific rigor and disciplined experimentation.

• Commercial Drive: A strong focus on real-world system performance and PnL, rather than theoretical research metrics alone.

Nice to Have

• Experience working with alternative, emerging, or 24/7 markets.

Why Join Us?

• Direct Impact: Work in short research and development cycles where your ideas can move quickly from research into live trading.

• High Talent Density: Collaborate with a lean team of quantitative researchers and engineers pushing the boundaries of AI-driven systematic trading.

• Cutting-Edge Technology: Work with large-scale, high-frequency datasets and advanced AI/ML architectures to build next-generation trading systems.